KR102339543B1 - Low power operation method of wearable device - Google Patents

Abstract

The present invention relates to a low-power operation method of a wearable device. The method of the present invention includes the steps of: acquiring the user's biosignal data from a biosignal measuring sensor; generating sampling data using the acquired biosignal data; and operating the biosignal measuring sensor based on the generated sampling data. may include steps.

Description

Low power operation method of wearable device

The present invention relates to a low-power operating method of a wearable device, and more particularly, to a low-power operating method of a wearable device that operates a biosignal measuring sensor with low power based on sampling data.

As with any portable electronic device, there is a need for a wearable sensor device that monitors biosignals to have a long battery life. In general, longer battery life can be provided to the wearable device by providing less information content. However, reduced information content is unacceptable in some cases.

A heart rate (photoplethysmogram, PPG) sensor device typically measures and estimates heart rate and respiration rate based on a PPG-based heart rate method. However, the PPG sensor consumes too much power. Accordingly, there is a need to reduce power consumption of the heart rate sensor.

[Patent Document 1] Korean Patent Application Laid-Open No. 10-2017-0008043. 2017.01.23. open.

The present invention was created to solve the above problems, and an object of the present invention is to provide a low-power operation method of a wearable device.

Objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood from the description below.

In order to achieve the above objects, a low-power operating method of a wearable device according to an embodiment of the present invention is disclosed. The method includes the steps of acquiring the user's biosignal data from the biosignal measuring sensor, generating sampling data using the acquired biosignal data, and operating the biosignal measuring sensor based on the generated sampling data. may include

In addition, according to an embodiment of the present invention, generating the sampling data may include searching for an R peak point of the obtained biosignal data and setting a sampling period based on the searched R peak point. have.

Also, according to an embodiment of the present invention, the step of searching for the R peak point may include setting the R peak point as the R peak point when the peak point is included in a preset range.

Further, according to an embodiment of the present invention, the step of searching for the R peak point may be a step of searching for the R peak point using data obtained by secondly differentiating the amplitude value of the acquired biosignal data.

Also, according to an embodiment of the present invention, the step of setting the sampling period may be a step of setting a time interval between the searched R peak point and the neighboring R peak point as the sampling period.

Also, according to an embodiment of the present invention, generating the sampling data may further include verifying whether the generated sampling data is available as data for determining whether the biosignal measuring sensor operates.

Also, according to an embodiment of the present invention, the verifying may be a step of determining whether the R peak point predicted to occur through the generated sampling data matches the R peak point of the acquired biosignal data.

In addition, according to an embodiment of the present invention, in the step of determining whether the R peak points match, the R peak points predicted to occur through the generated sampling data are located within a preset range from the acquired biosignal data, match It can be judged that

In addition, according to an embodiment of the present invention, when the verification of the sampling data is completed in the verifying step, the method may further include determining whether to operate the biosignal measuring sensor using the generated sampling data.

In addition, according to an embodiment of the present invention, in the step of determining whether they match, if it is determined that they do not match, the user biosignal data may be reacquired to generate new sampling data.

Also, according to an embodiment of the present invention, the operating of the biosignal measuring sensor may be a predictive driving of the biosignal measuring sensor according to a time when the generation of the R peak point is predicted through the generated sampling data.

Also, according to an embodiment of the present invention, the method may further include determining whether an activity state is changed from sensors mounted on the wearable device.

Also, according to an embodiment of the present invention, the step of determining whether the activity state is changed may be a step of determining whether the activity state is changed using at least one sensor among an inertial sensor, an acceleration sensor, a gyro sensor, and a motion detection. .

Also, according to an embodiment of the present invention, when it is determined that the activity state has changed, in the generating of the sampling data, new sampling data may be generated based on the re-acquired biosignal data.

Specific details for achieving the above objects will become clear with reference to the embodiments to be described below in detail in conjunction with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below, but may be configured in various different forms, and those of ordinary skill in the art to which the present invention pertains ( Hereinafter, "a person skilled in the art") is provided to fully inform the scope of the invention.

According to an embodiment of the present invention, it is possible to reduce power consumption due to real-time measurement of a heart rate (PPG) sensor by sampling the measured biosignal data.

In addition, according to an embodiment of the present invention, it is possible to reduce the power consumption of the device by determining whether the heart rate (PPG) sensor is operating by determining whether to change the active state using sensors with relatively low power consumption.

Effects of the present invention are not limited to the above-described effects, and potential effects expected by the technical features of the present invention will be clearly understood from the following description.

BRIEF DESCRIPTION OF THE DRAWINGS So that the above-mentioned features of the present invention may be understood with reference to the following examples in detail, in a more specific description, some of the embodiments are shown in the accompanying drawings. Also, like reference numerals in the drawings are intended to refer to the same or similar functions throughout the various aspects. However, it should be noted that the accompanying drawings only show certain typical embodiments of the present invention and are not to be considered limiting of the scope of the present invention, and other embodiments having the same effect may be sufficiently recognized. to do it
1 is a flowchart of a low-power operation method of a wearable device according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail.

Various features of the invention disclosed in the claims may be better understood upon consideration of the drawings and detailed description. The apparatus, methods, preparations, and various embodiments disclosed herein are provided for purposes of illustration. The disclosed structural and functional features are intended to enable those skilled in the art to specifically practice the various embodiments, and are not intended to limit the scope of the invention. The disclosed terms and sentences are for the purpose of easy-to-understand descriptions of various features of the disclosed invention, and are not intended to limit the scope of the invention.

In describing the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

Hereinafter, a low-power operation method of a wearable device according to an embodiment of the present invention will be described.

1 is a flowchart of a low-power operation method of a wearable device according to an embodiment of the present invention.

Referring to FIG. 1 , the low-power operation method ( S100 ) of the wearable device includes the steps of: acquiring the user's bio-signal data from a bio-signal measuring sensor ( S101 ), and generating sampling data using the acquired bio-signal data ( S103 ) ) and operating the biosignal measuring sensor based on the generated sampling data (S105).

In an embodiment, the detecting of wearing of the wearable device may be a step of detecting wearing of the wearable device by the user through a sensor. More specifically, the wearable device may include a sensor for detecting human skin through a transparent electrode and a thermal sensor for detecting body temperature. The step of detecting wearing of the wearable device may be a step of detecting the wearing state of the user through a skin detection sensor or a thermal sensor included in the wearable device when the user wears the wearable device.

In one embodiment, the step of acquiring the user's biosignal data ( S101 ) may be a step of acquiring the user's biosignal data from the biosignal measuring sensor when the wear of the wearable device is detected in the step of detecting wearing of the wearable device. . For example, when a wear signal of a user is detected using a skin detection sensor or a thermal sensor built into the wearable device, the user's pulse wave for 5 minutes through a photoplethysmogram (PPG) sensor built into the wearable device ) to obtain user biosignal data. The above example is only an example for describing the present disclosure, and the present disclosure is not limited thereto.

In an embodiment, generating the sampling data ( S103 ) may be a step of generating sampling data using the biosignal data acquired in the step ( S101 ) of acquiring the user's biosignal data. In addition, generating the sampling data ( S103 ) may include searching for an R peak point of the acquired biosignal data and setting a sampling period based on the searched R peak point.

More specifically, the step of searching for the R peak point may include setting the R peak point as the R peak point when the peak point is included in the preset range. In the step of searching for the R peak point, the peak point range including the R peak point is set, and a case similar to the sampling data in the sampling verification step is considered to be the same as the measured biosignal. In addition, the step of searching for the R peak point may be a step of searching for the R peak point using data obtained by secondly differentiating the amplitude value of the acquired biosignal data.

In addition, the step of setting the sampling period may be a step of setting a time interval between the R peak point searched for in the step of searching for the R peak point and the neighboring R peak point as the sampling period. More accurate sampling data can be generated by setting a cycle centering on the R peak point, which is a characteristic part of the measured biosignal data.

The heartbeat time interval between the R peak point and the R peak point can be measured using a timer existing inside the device. The wearable device may set the sampling period through the measured heartbeat time interval. By setting the sampling period using the heart rate interval, the heart rate (PPG) sensor operates the next R peak point according to the set sampling period, thereby reducing the operating power of the heart rate (PPG) sensor. Since a heart rate (PPG) sensor included in a wearable device consumes more power than a sensor related to motion recognition, it is possible to reduce power consumption of the entire device by reducing the power of the heart rate (PPG) sensor.

In addition, generating the sampling data ( S103 ) may further include verifying whether the generated sampling data is usable as data for determining whether the biosignal measuring sensor operates. The verifying may be a step of determining whether the R peak point predicted to occur through the generated sampling data matches the R peak point of the acquired biosignal data. In the step of determining whether the R peak points match, when the R peak points predicted to occur through the generated sampling data are located within a preset range from the acquired biosignal data, it may be determined that the R peak points match.

If the R peak point, which is an important part of the biosignal data, coincides, it can be considered that the sampling data and the measured biosignal data match. After generating the sampling data, there is a process of verifying the generated sampling data, so that the generated sampling data can be trusted. In the step of verifying the generated sampling data, if the R peak point at which the generated sampling data is predicted to occur and the R peak point of the actually measured data do not match, the generated sampling data cannot be trusted, so the biosignal data is re-recorded It is necessary to measure and generate new sampling data.

In one embodiment, in the low-power operation method S100 of the wearable device, when the verification of the sampling data is completed in the verifying step, that is, when it is determined that the sampling data and the measured biosignal data match, the generated sampling data The method may further include determining whether to operate the biosignal measuring sensor using the method. Operating the biosignal measuring sensor ( S105 ) may operate the biosignal measuring sensor based on the sampling data generated in the generating of the sampling data ( S103 ).

More specifically, when it is determined that the generated sampling data coincides with the measured biosignal data, operating the biosignal measuring sensor ( S105 ) may include the biosignal measuring sensor according to the time at which the R-peak point is predicted through the generated sampling data. It may be a step of predictively driving the signal measuring sensor. Power consumption of the heart rate (PPG) sensor can be minimized by predictively driving the heart rate (PPG) sensor, which is a biosignal measuring sensor, according to the time when the R-peak point is expected to occur.

In addition, by driving the heart rate (PPG) sensor, which consumes more power than other sensors, only when necessary, the wearable device can be operated for a long time. More specifically, as a method for minimizing the operation of a photoplethysmogram (PPG) sensor that consumes a lot of power, the method generates sampling data based on an actually measured pulse wave signal, and R generated based on the sampled data The heart rate (photoplethysmogram, PPG) sensor is operated only before and after the peak point. That is, the fact that the actual measured data matches the sampled data means that the sampling data can be trusted. Accordingly, by operating the heart rate (photoplethysmogram, PPG) sensor according to the location of the R peak point predicted by the sampled heart rate data, it is possible to reduce the overall power consumption of the wearable device.

In an embodiment, the low-power operation method ( S100 ) of the wearable device determines whether the R peak point predicted to occur through the sampling data generated in the verifying step matches the R peak point of the acquired biosignal data. When it is determined that there is no user biosignal data, new sampling data may be generated by reacquiring the user biosignal data. If the verification result does not match, the sampled data is no longer reliable, so the biosignal data is reacquired to generate new sampled data.

In addition, determining that the sampled data is not identical as a result of verification in the step of verifying the state of the generated sampled data indicates that there is an error in the sampled data value or that the current heart rate state is different from the state at the time of measurement. It could mean that you need to do a new sampling.

In an embodiment, the low-power operation method ( S100 ) of the wearable device may further include determining whether an activity state is changed from sensors mounted on the wearable device. More specifically, the step of operating the biosignal measuring sensor ( S105 ) further includes determining whether the activity state is changed. (PPG) This is to determine whether the operation of the sensor is necessary.

In the low-power operation method S100 of the wearable device, when the sampled data has reliability, the heart rate may be predicted using the sampled data without measuring the heart rate again. However, when a change in heart rate due to a user's physical activity occurs, the predictions of the existing sampling data do not match, and thus new data must be acquired. Accordingly, in the low-power operation method S100 of the wearable device, the heart rate change due to physical activity may be predicted using sensors that consume relatively little power, and it may be determined that the operation of the heart rate (PPG) sensor is necessary.

That is, when the heart rate data is sampled based on the normal heart rate data in the low-power operation method ( S100 ) of the wearable device, the heart rate does not match the heart rate during exercise, so it is necessary to measure the heart rate again and resample. As such, since the heart rate is re-measured only when the state of physical activity is changed or when it is determined that there is an error in the sampled data, there is no need to continuously use the heart rate (PPG) sensor. That is, the use of a heart rate (PPG) sensor, which consumes a lot of power, can be reduced to a minimum.

More specifically, the step of determining whether the activity state is changed may be a step of determining whether the activity state is changed by using at least one of an inertial sensor, an acceleration sensor, a gyro sensor, and a motion detection sensor.

In one embodiment, when it is determined that the activity state is changed in the step of determining whether the activity state is changed in the low-power operation method S100 of the wearable device, the user's bio-signal data is re-acquired, and based on the re-acquired bio-signal data The step of re-sampling may be further included. If the activity state is changed, the existing sampling data can no longer be trusted, so the biosignal is acquired again. for sampling.

The above description is merely illustrative of the technical spirit of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention.

Accordingly, the embodiments disclosed in the present specification are not intended to limit the technical spirit of the present invention, but to illustrate, and the scope of the present invention is not limited by these embodiments.

The protection scope of the present invention should be interpreted by the claims, and all technical ideas within the scope equivalent thereto should be understood to be included in the scope of the present invention.

Claims (14)

Detecting a wearable state of the user from a sensor for detecting the skin and a thermal sensor for detecting body temperature built into the wearable device;
acquiring biosignal data from a biosignal measuring sensor that measures a user's pulse wave built in the wearable device when the wearable device is detected through the step;
generating, by the wearable device, sampling data of a user's pulse wave using the acquired biosignal data;
verifying, by the wearable device, whether the generated sampling data is usable as data for determining whether the biosignal measuring sensor operates; and
When the verification of the data is completed, based on the verified sampling data, the wearable device operates the biosignal measuring sensor according to the time when the R-peak point generation is predicted through the verified sampling data, and ,
The verification step is
It is determined whether the user's physical activity state is changed by using at least one of an inertial sensor, an acceleration sensor, a gyro sensor, and a motion detection sensor mounted on the wearable device, and when it is determined that the user's physical activity state is changed, the sampling In the step of generating data, generating new sampling data based on the re-acquired biosignal data;
A low-power operation method for wearable devices.
According to claim 1,
The step of generating the sampling data includes:
searching for an R peak point of the acquired biosignal data; and
Based on the searched R peak point, comprising the step of setting a sampling period,
A low-power operation method for wearable devices.
3. The method of claim 2,
The step of searching for the R peak point includes:
If the peak point is included within the preset range, comprising the step of setting the R peak point,
A low-power operation method for wearable devices.
3. The method of claim 2,
The step of searching for the R peak point includes:
A step of searching for an R peak point using data obtained by secondly differentiating the amplitude value of the acquired biosignal data,
A low-power operation method for wearable devices.
3. The method of claim 2,
Setting the sampling period comprises:
Setting a time interval between the searched R peak point and the neighboring R peak point as a sampling period,
A low-power operation method for wearable devices.
delete According to claim 1,
The verification step is
determining whether the R peak point predicted to occur through the generated sampling data matches the R peak point of the acquired biosignal data;
A low-power operation method for wearable devices.
8. The method of claim 7,
In the step of determining whether the R peak points match,
When the R peak point predicted to occur through the generated sampling data is located within a preset range from the acquired biosignal data, it is determined that they match,
A low-power operation method for wearable devices.
delete 8. The method of claim 7,
In the step of determining whether or not they match, if it is determined that they do not match, reacquiring user biosignal data to generate new sampling data,
A low-power operation method for wearable devices.
delete delete delete delete

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